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Jamba 1.5 Large vs Phi-4

A complete head-to-head: pricing, context window, benchmarks, modality coverage, and openness, with a programmatic verdict synthesized from the underlying data.

Updated

Jamba 1.5 Large specs · Phi-4 specs
Verdict by category
  • PriceJamba 1.5 Large

    Jamba 1.5 Large publishes pricing ($8.00 / 1M output tokens) while Phi-4 does not.

  • Context windowJamba 1.5 Large

    Jamba 1.5 Large accepts 256K tokens vs 16K, 16.0× the room for long documents and codebases.

  • BenchmarksTie

    No directly comparable public benchmarks are available for both models, check the spec sheets for individual scores.

  • ModalitiesTie

    Both handle text.

  • OpennessTie

    Both ship open weights, self-host either one.

On balance Jamba 1.5 Large edges ahead, winning 2 of 5 categories against Phi-4's 0. Jamba 1.5 Large publishes pricing ($8.00 / 1M output tokens) while Phi-4 does not. Jamba 1.5 Large accepts 256K tokens vs 16K, 16.0× the room for long documents and codebases.

No directly comparable public benchmarks are available for both models, check the spec sheets for individual scores. Both target the same set of modalities (text), so the deciding factors are price, context, and raw quality. Both ship open weights, self-host either one.

Phi-4 is the newer of the two, released 4 months after Jamba 1.5 Large, which usually means a more recent knowledge cutoff and updated safety post-training. Jamba 1.5 Large is usually picked for long context and rag workloads, while Phi-4 sees more deployments in on device and edge deployment. If pricing matters more than every last benchmark point, run the numbers in the calculator below before committing.

Side-by-side specs

SpecJamba 1.5 LargePhi-4
ProviderAI21Microsoft
ReleasedAug 2024Dec 2024
Modalitiestexttext
Context window256K tokens16K tokens
Max output,,
Input · 1M$2.00 / 1M tokensPricing not published
Output · 1M$8.00 / 1M tokensPricing not published
Knowledge cutoff,,
Open weightsYes (Jamba Open Model License)Yes (MIT)
API availableYesYes

Pricing at scale

What you'd actually pay at typical workloads. Numbers come from each model's published per-million-token rates.

  • Light usage, 100k in / 50k out per day$18.00 vs ,
  • Heavy usage, 1M in / 500k out per day$180 vs ,
  • RAG workload, 5M in / 200k out per day$348 vs ,

Light usage, 100k in / 50k out per day: pricing not directly comparable (one or both models are missing public per-token rates). Heavy usage, 1M in / 500k out per day: pricing not directly comparable (one or both models are missing public per-token rates). RAG workload, 5M in / 200k out per day: pricing not directly comparable (one or both models are missing public per-token rates).

Price calculator

Estimated spend for the listed models at your usage. Numbers are derived from each model's published per-million-token rates.

  • Jamba 1.5 Large$0.600
  • Phi-4Pricing unavailable

Benchmarks compared

Only sourced numbers. Where a benchmark is missing for one model we show the available value rather than fabricating the other.

Jamba 1.5 LargePhi-4
  • MMLU,84.8
  • HumanEval,82.6
Pick Jamba 1.5 Large if

Jamba 1.5 Large fits when…

  • 256k context
  • Efficient long-context inference
  • Open weights
  • Long-context tasks, handles 256K tokens vs 16K for Phi-4.
Pick Phi-4 if

Phi-4 fits when…

  • Exceptional quality at 14B parameters
  • MIT license, clean commercial use
  • Strong on math
Don't want either?

Consider Jamba 1.5 Mini

Smaller hybrid SSM-Transformer model, fast and efficient at long contexts.

See Jamba 1.5 Mini specsJamba 1.5 Large vs Jamba 1.5 MiniPhi-4 vs Jamba 1.5 Mini

Frequently asked

  • Is Jamba 1.5 Large or Phi-4 cheaper?
    Per-token pricing isn't published for at least one of these models, check each model's spec page for current rates.
  • Which has the larger context window?
    Jamba 1.5 Large accepts 256K tokens vs 16K for Phi-4.
  • Is Jamba 1.5 Large or Phi-4 better for coding?
    Both Jamba 1.5 Large and Phi-4 are competitive on coding benchmarks. See each model's individual spec page for HumanEval and SWE-bench scores where published. For an opinionated pick, consult our Best LLM for Coding ranking.
  • Are either of these models open source?
    Both ship with open weights. Jamba 1.5 Large is licensed under Jamba Open Model License; Phi-4 under MIT.
  • When were Jamba 1.5 Large and Phi-4 released?
    Jamba 1.5 Large was released by AI21 on 2024-08-22. Phi-4 was released by Microsoft on 2024-12-12.
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